{"id":"W4317748919","doi":"10.4269/ajtmh.22-0523","title":"Prediction of the Risk Distributions for Anopheles sinensis, a Vector for Malaria in Shanghai, China","year":2023,"lang":"en","type":"article","venue":"American Journal of Tropical Medicine and Hygiene","topic":"Malaria Research and Control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Chinese Center for Disease Control and Prevention; Fudan University; University of Ottawa","keywords":"Anopheles sinensis; Malaria; Vector (molecular biology); Transmission (telecommunications); Anopheles; Environmental health; Vegetation (pathology); Biology; Ecology; Geography; Medicine; Immunology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263178,0.0006389368,0.0003362625,0.001017249,0.0001299132,0.0004879904,0.0002274193,0.000222719,0.0003834038],"category_scores_gemma":[0.002010384,0.0001380382,0.0004324148,0.0005153244,0.0001006282,0.00032334,0.000314806,0.0002312569,0.0001124146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549751,"about_ca_system_score_gemma":0.0005160455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0311538,"about_ca_topic_score_gemma":0.02023649,"domain_scores_codex":[0.9998072,0.0000577375,0.00001745292,0.00005150861,0.00003351554,0.00003266866],"domain_scores_gemma":[0.9990034,0.000363759,0.0001660107,0.00007356281,0.0003044274,0.0000888881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001412425,0.00004376249,0.8932575,0.00003733009,0.0001348455,0.0001309494,0.0001090462,0.08222977,0.001198547,0.0001379567,0.001087846,0.02149121],"study_design_scores_gemma":[0.0000113735,0.0001089385,0.4215775,0.00001491905,0.00008888904,0.00008317521,0.0001511477,0.5764617,0.0007635549,0.0002783244,0.0004434816,0.00001712603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962478,0.0001660923,0.002730185,0.00006262317,0.000007171183,0.000006946308,0.0005117913,0.00005028517,0.000217155],"genre_scores_gemma":[0.9973646,0.00007838181,0.001125883,0.000008476643,0.000004377105,0.000005670411,0.001229737,0.000003934587,0.0001789286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0311538,"threshold_uncertainty_score":0.0619449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084210179217409,"score_gpt":0.2902736224062974,"score_spread":0.2694315206141233,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}